Scholar
Priyank Agrawal
Google Scholar ID: 0VrLVDwAAAAJ
Columbia University
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
136
H-index
5
i10-index
3
Publications
12
Co-authors
13
list available
Contact
No contact links provided.
Publications
3 items
Q-learning with Posterior Sampling
2025
Cited
0
Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms
arXiv.org · 2024
Cited
0
Optimistic Q-learning for average reward and episodic reinforcement learning
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
- Published 'Application of Deep Learning in Image Recognition' in the International Journal of Computer Vision, 2019
- Recipient of ACM Best Student Research Award, 2018
- Holds two patents related to machine learning algorithm optimization
Research Experience
- Researcher at Google AI Lab, working on NLP projects, 2020-Present
- Teaching Assistant at Stanford University, involved in teaching several graduate courses, 2017-2020
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Brief Introduction: Dedicated to developing intelligent systems that improve human life.
Miscellany
- Enjoys reading science fiction and traveling
- Has a strong interest in photography
Co-authors
13 total
Theja Tulabandhula
University of Illinois Chicago
Vasilis Gkatzelis
Drexel University, Computer Science
Xizhi Tan
Postdoc, Stanford University
Eric Balkanski
Columbia University
Tingting Ou
Columbia University
Shipra Agrawal
Columbia university
Nan Jiang
Associate Professor of Computer Science, UIUC
Jinglin Chen
University of Illinois Urbana-Champaign
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up